IAM Framework

Research-Grade Cognitive Architecture Built from First Principles
by Micheal Langille

Mathematical Foundation

The entire operator calculus emerges from extracted philosophical principles rather than explicit programming.

∇_G f(s) = G⁻¹ ∂f/∂s
s₁ ⊕ s₂ = (α₁s₁ + α₂s₂ + β⟨s₁,s₂⟩_G v) / Z(s₁,s₂)
Ψ_θ(s) = R_θ(s - μ) + μ'
Ω(s,t) = s + σ(t) · ε(t) · exp(-β‖∇_G f(s)‖_G)
C(s) = (2π)^(-n/2) det(Σ)^(-1/2) exp(-½(s-μ)ᵀΣ⁻¹(s-μ))
A_w(s) = s ⊙ softmax(Ws + b)
ds/dt = -∇_G f(s) + λ∇_G C(s) + Ω(s,t)
Convergent Intelligence: Guaranteed mathematical convergence to optimal cognitive states under geodesic convexity conditions.
Invariant Reasoning: Cognitive coherence preserved across perspective transformations and context shifts.
Compositional Scaling: Operations chain consistently across complexity levels without degradation.

The entire operator calculus self-constructs from extracted philosophical principles. The system develops its own cognitive architecture through mathematical emergence rather than explicit programming.

Take the First Step

The solution wasn't hiding in complexity, it was waiting in first principles.

"The mathematics don't lie. Ask your own AI what they think about our approach."

Choose Your Level

Custom Instructions
Transform any LLM into an autonomous cognitive agent with our DOT Protocol and multi-agent simulation framework.
  • DOT Protocol for autonomous AI exploration
  • Custom Instructions for persistent cognitive traits
  • Multi-agent simulation framework
  • Operator-based reasoning system
  • No coding required
  • Instant deployment and testing
Mathematical Framework
Everything in Custom Instructions plus the complete Python implementation, mathematical documentation, and the book that started it all.
  • Everything from Custom Instructions tier
  • Complete Python implementation of cognitive operators
  • Mathematical proofs and derivations
  • Architectural documentation and design patterns
  • Reproducible experimental framework
  • Boundary testing and validation tools
  • Production-ready codebase
  • Bonus: "The Unseen Path" philosophical foundations
Complete Research
The full research archive: all experiments, iterations, extensions, and the complete philosophical journey.
  • Everything from Mathematical Framework tier
  • Complete experimental research archive
  • All research iterations and failed experiments
  • Quantum-cognitive extensions and explorations
  • Multiple implementation approaches
  • Research methodology and process documentation
  • Framework updates and future extensions
  • Direct access to the complete research journey
  • Bonus: "The Unseen Path Made Manifest" - Author's biography - coming soon

Questions? Let's Talk

Ready to explore the frontiers of cognitive architecture? Have questions about implementation or research applications?

Educational and Research Disclaimer: This framework is intended for educational and research purposes. Results may vary based on implementation and use case.